tf.keras.backend.spatial_3d_padding
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Pads 5D tensor with zeros along the depth, height, width dimensions.
tf.keras.backend.spatial_3d_padding(
x, padding=((1, 1), (1, 1), (1, 1)), data_format=None
)
Pads these dimensions with respectively
"padding[0]", "padding[1]" and "padding[2]" zeros left and right.
For 'channels_last' data_format,
the 2nd, 3rd and 4th dimension will be padded.
For 'channels_first' data_format,
the 3rd, 4th and 5th dimension will be padded.
Arguments |
|---|
x
|
Tensor or variable.
|
padding
|
Tuple of 3 tuples, padding pattern.
|
data_format
|
One of channels_last or channels_first.
|
Returns |
|---|
|
A padded 5D tensor.
|
Raises |
|---|
ValueError
|
if data_format is neither
channels_last or channels_first.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.spatial_3d_padding\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/spatial_3d_padding) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L3031-L3072) |\n\nPads 5D tensor with zeros along the depth, height, width dimensions.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.backend.spatial_3d_padding`](/api_docs/python/tf/keras/backend/spatial_3d_padding), \\`tf.compat.v2.keras.backend.spatial_3d_padding\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.spatial_3d_padding(\n x, padding=((1, 1), (1, 1), (1, 1)), data_format=None\n )\n\nPads these dimensions with respectively\n\"padding\\[0\\]\", \"padding\\[1\\]\" and \"padding\\[2\\]\" zeros left and right.\n\nFor 'channels_last' data_format,\nthe 2nd, 3rd and 4th dimension will be padded.\nFor 'channels_first' data_format,\nthe 3rd, 4th and 5th dimension will be padded.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------------|---------------------------------------------|\n| `x` | Tensor or variable. |\n| `padding` | Tuple of 3 tuples, padding pattern. |\n| `data_format` | One of `channels_last` or `channels_first`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A padded 5D tensor. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|------------------------------------------------------------------|\n| `ValueError` | if `data_format` is neither `channels_last` or `channels_first`. |\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub